Want to sync data from dBase to Azure?
Try Withdata DBCopier, a dBase to Azure converter for Windows, Mac, and Linux, Synchronize dBase to Azure, Easy and Fast.
- Can run in GUI mode, Step by Step, just a few mouse clicks.
- Can run in Command line, for Scheduled Tasks and Streams.
- Support Windows, Linux, and macOS.
Synchronize data from dBase to Azure
Login to dBase and target Azure -> Select source dBase tables -> Set target Azure tables -> Sync dBase data to Azure
Choose source dBase database and logon.
Choose target Azure database and logon.
Click “Wizard – Import All Tables” at task dialog.
then show the wizard.
1. Select source dBase tables to sync.
2. List target Azure tables.
Set “Import Type” to “Replace”, it will do a full synchronization.
Or set “Import Type” to “Upsert”, it will do a upsert synchronization.
3. Select Azure tables to sync.
4. Sync dBase data to Azure.
More about dBase to Azure converter
Download Withdata DBCopier
See also:
dBase → Azure SQL reference
Type mapping
| Value kind | in dBase | in Azure SQL |
|---|---|---|
| Int | Numeric(10,0) | int |
| Bigint | Numeric(19,0) | bigint |
| Decimal | Numeric(p,s) | decimal(p,s) |
| Float | Float | float |
| Text | Character(n) | nvarchar(n) |
| Long text | Memo | nvarchar(max) |
| Date | Date | date |
| Datetime | (none) | datetime2 |
| Binary | (none) | varbinary(max) |
| Boolean | Logical | bit |
| JSON | (none) | nvarchar(max) |
Dialect differences
Both dBase and Azure SQL are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in dBase | in Azure SQL |
|---|---|---|
| port | (file-based) | 1433 |
| identifiers | — | [square brackets] |
| row limit | (driver dependent) | SELECT TOP n |
| dates | Date (D) | datetime2, date, time |
| long text | Memo (M) | nvarchar(max) |
| binary | — | varbinary(max) |
Command line
| Side | Command |
|---|---|
| Azure SQL | bcp |
| Azure SQL (load) | bcp, or BULK INSERT |
No counterpart
- Azure SQL has no equivalent for Date and time – it has to be flattened or dropped.
- Azure SQL has no equivalent for Binary – it has to be flattened or dropped.
- Azure SQL has no equivalent for JSON – it has to be flattened or dropped.
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